6G comprehensive intelligence: network operations and optimization based on Large Language Models
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Abstract (arXiv)
The sixth generation mobile communication standard (6G) can promote the development of Industrial Internet and Internet of Things (IoT). To achieve comprehensive intelligent development of the network and provide customers with higher quality personalized services. This paper proposes a network performance optimization and intelligent operation network architecture based on Large Language Model (LLM), aiming to build a comprehensive intelligent 6G network system. The Large Language Model, with more parameters and stronger learning ability, can more accurately capture patterns and features in data, which can achieve more accurate content output and high intelligence and provide strong support for related research such as network data security, privacy protection, and health assessment. This paper also presents the design framework of a network health assessment system based on LLM and focuses on its potential application value, through the case of network health management system, it is fully demonstrated that the 6G intelligent network system based on LLM has important practical significance for the comprehensive realization of intelligence.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2024.
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Citing papers per year: 2024: 1; 2025: 6; 2026: 2.
9 papers.
- 2025End-to-End Edge AI Service Provisioning Framework in 6G ORANcited by 6
- 2025Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehiclescited by 2
- 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communicationscited by 1
- 2024Distributed Collaborative Inference System in Next-Generation Networks and Communicationcited by 0
- 2025Investigating cybersecurity incidents using large language models in latest-generation wireless networkscited by 0
- 2025The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challengescited by 0
- 2025KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligencecited by 0
- 2026Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classificationcited by 0
- 2026Generative Communications: Overview, Technologies, and Trendscited by 0
- 2026Generative Communications: Overview, Technologies, and Trends10 Jul 2026
- 2026Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification26 Mar 2026
- 2025KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence10 Jul 2025
- 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications28 May 2025
- 2025The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges17 Apr 2025
- 2025Investigating cybersecurity incidents using large language models in latest-generation wireless networks14 Apr 2025
- 2025End-to-End Edge AI Service Provisioning Framework in 6G ORAN15 Mar 2025
- 2025Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles26 Jan 2025
- 2024Distributed Collaborative Inference System in Next-Generation Networks and Communication16 Nov 2024